Data Analytics Engineer TheySheHe
Data Analytics Engineer TheySheHe
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Job Description
Data Analytics Engineer (they/she/he)
If youre here its because youre looking for anexciting ride.
A ride that will fuel up your ambitions to take on anew challenge and stretch yourself beyond your comfort zone.
Well deliver anonvanilla culture built on talent where we work to amplify the impact on millions of people paving the way forward together.
Not your usual app. We are the fastestgrowing multicategory app connecting millions of users with businesses and couriers offering ondemand services from more than 170000 local restaurants grocers and supermarkets and high street retail stores. We operate in more than 1500 cities across 25 countries.
Together we revolutionise the way people connect with their everyday needs from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us every day is filled with purpose.
What makes our ride unique
Our culture and strong values.
- We have an officefirst culture and we place collaboration at the center of everything we do!
- We have a nonvanilla personality and feedback mindset. We dont shy away from difficult conversations we see them as a gift!
- We work with high intensity and have fun along the way. We also celebrate the wins (a lot!.
- We celebrate diversity in all its forms and foster an inclusive culture where everyone can bring their authentic selves to work.
Our career development philosophy.
- We are building a talent house of high performing teams and leaders. We invest in people who raise the bar and help others reach their full potential.
- We take ownership of our career development. We dont believe in linear and predictable career paths we create the job of our dreams!
- We embrace opportunities to move the needle and make an impact beyond our scope.
Our commitment to being a force for good.
- Our platform is an important economic tool for millions of people (customers partners couriers) and we are taking action to amplify our positive impact.
- We invest in doing good by dedicating time and resources into social and environmental initiatives.
- We have the ambition of being DIB role models across the tech industry. We are creating environments systems and processes that provide equal opportunities break biases and empower our communities.
We have a vision: To give everyone easy access to anything in their cities. And this is where your ride starts.
YOUR MISSION
Join our team to craft robust and scalable data products that drive our business forward. Leverage our Data Mesh strategy to deliver actionable insights optimize operations and foster a culture of datadriven innovation across teams.
THE JOURNEY
Responsibilities
- Develop data pipelines and optimize data pipelines: data ingestion from transactional sources and APIs data transformation with dbt and workflow orchestration with Airflow
- Model and structure data: Build maintainable data models including fact tables and slowly changing dimensions to support analytics and reporting needs.
- Partner with business teams to understand their needs deliver actionable data solutions and support selfservice analytics.
- Design userfriendly dashboards and LookML models to enable stakeholders to explore and analyze data effectively.
- Stay up to date with the latest data technologies methodologies and industry best practices. Experiment with new tools
- Continuously work on improving our data quality
WHAT YOU WILL BRING TO THE RIDE
Requirements:
- Eagerness to work closely with business stakeholders
- Ability to communicate complex data topics to nontechnical stakeholders
- Strong analytical skills
- Proficiency with SQL and Python
- Experience building ETL workloads
- Knowledge of data modeling and schema design
- Experience with cloud technologies (GCP AWS)
- Experience with data visualization tools (e.g. Looker Tableau Power BI)
Nice to have:
- Experience with test automation (data testing unit and system integration testing)
- Experience building data products in a Data Mesh architecture
- Experience in big data technologies (e.g. Spark) SQL optimisation and performance tuning
- Experience with Infrastructure as a Code (Terraform)
Individuals representing diverse profiles encompassing variousgenders ethnicities and backgrounds are less likely to apply for this role if they do not possess solid experience in 100 of these areas. Even if it seems you dont meet our musts dont let it stop you we are all about finding the best talent out there! Skills can be learned and embracing diversity is invaluable.
We believe driven talent deserves:
- An enticing equity plan that lets you own a piece of the action.
- Topnotch private health insurance to keep you at your peak.
- Monthly Glovo credit to satisfy your cravings with zero delivery fees on all Glovo orders!
- Cobee discounts on transportation food and even kindergarten expenses.
- Discounted gym memberships to keep you energized.
- Flexible time off (uncapped vacation days) the freedom to work from home two days a week and the opportunity to work from anywhere for up to three weeks a year!
- Enhanced parental leave and officebased nursery.
- Online therapy and wellbeing benefits to ensure your mental wellbeing.
- An external learning budget to fuel your thirst for knowledge and personal growth.
Here in Glovo we thrive on diversity we believe it enhances our teams products and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds all genders racial/diverse backgrounds abilities ages sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work fostering an inclusive environment where everyone feels heard.
Feel free to note your pronouns in your application (e.g. she/her/hers he/him/his they/them/theirs etc).
So ready to take the wheel and make this the ride of your life
Delve into our culture by taking a peek at our Instagram and checking out our Linkedin and website!
Employment Type
Full Time
